code: def test_fbeta_weighted_random_score_none(
      self, average, beta, sample_weights, result
  ):
      y_true = [
          [1, 0, 0],
          [0, 1, 0],
          [0, 0, 1],
          [1, 0, 0],
          [1, 0, 0],
          [0, 0, 1],
      ]
      y_pred = [
          [0.9, 0.1, 0],
          [0.2, 0.6, 0.2],
          [0, 0, 1],
          [0.4, 0.3, 0.3],
          [0, 0.9, 0.1],
          [0, 0, 1],
      ]
      self._run_test(
          y_true,
          y_pred,
          sample_weights,
          average=average,
          beta=beta,
          threshold=None,
          reference_result=result,
      )
  
file_path: keras/keras/metrics/f_score_metrics_test.py
imports: import numpy
  from absl.testing import parameterized
  from keras import testing
  from keras.metrics import f_score_metrics
label_desc: Use image node_id 7 for calling the FBetaScoreTest obj's underlying member method code with example usage: obj.test_fbeta_weighted_random_score_none(average, beta, sample_weights, result) without return types